While the field of HEP has used certain machine learning methods, such as Multilevel Perceptrons[1]}, [2]}, [3]} and Boosted Decision Trees[4]}, for decades, these models are not directly amenable to the data in question.
Instead, physicists have constructed a large number of mathematical and heuristic jet substructure observables which quantify various properties on a per-jet level.[5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}
These observables may then be used in standard multivariate analysis techniques.
